Compute · Global · Jul 25, 2025
9 months is the training length past which frontier runs may be inefficient
9months
is the training length past which frontier runs may be inefficient
Epoch AI argues longer runs get outclassed by later runs that use newer hardware and algorithms.
9months
“Based on our latest numbers, this suggests that training runs lasting more than 9 months may be inefficient.”
Related
Compute · Global
5×
per year growth in training compute for frontier language models since 2020
Epoch AI · Feb 5, 2026
Compute · Global
$0.07
per million tokens was the cost to query a GPT-3.5-level model by October 2024
Stanford HAI · Apr 7, 2025
Compute · Global
280fold
reduction in the cost of querying a GPT-3.5-level model in about 18 months
Stanford HAI · Apr 7, 2025